code: def forward(self, inputs):
      inputs = inputs * self.module_bits
      inputs = self.module(inputs)
      return inputs
  
file_path: nni/nni/compression/quantization_speedup/frontend_to_onnx.py
imports: import torch
  import onnx
  import onnx.numpy_helper
  from ..utils import set_nested_attr
label_desc: Use image node_id 2 for calling the LayernameModuleWrapper obj's underlying member method code with example usage: obj.forward(inputs) and returns: inputs